Responsibilities
- Contribute to the design and development of ranking and understanding features.
- Collaborate with frontend developers, machine learning specialists, and other engineering roles.
- Ensure the quality and soundness of production pipelines.
Requirements
- Experience designing and operating pipelines in production.
- Experience working with large datasets and high traffic.
- Interest in solving ranking challenges.
- Experience building and maintaining API services.
- Strong commitment to high code quality, automated testing, and engineering best practices.
- Experience with one of the major cloud providers: GCP, AWS, or Azure.
- Excellent spoken and written English skills.
- Experience operating AI models in production environments is desirable.
- Experience with Go or Python is desirable.
- Experience with Kubernetes is desirable.
- Experience exploring datasets with SQL and making data-driven decisions is desirable.
- Sensitivity to end-user experience is desirable.
Benefits
- Flexible workplace model with fully remote or hybrid-remote options depending on location and role.
- Global office locations include Paris, NYC, London, Sydney, and Bucharest.
- Autonomy to choose where and when to work for eligible team members.
About Algolia
Algolia is a leading AI search and discovery platform, powering more than 1.75 trillion queries each year for over 18,000 businesses worldwide. Its unified keyword and vector search engine delivers exceptional speed, scalability, and relevance, enabling companies to build intelligent, agentic, and generative experiences through tools such as Agent Studio. Trusted by millions of developers, Algolia is redefining how modern applications connect users to information. Founded in Paris in 2012 and now headquartered in San Francisco, Algolia has spent more than a decade shaping search into a core layer of AI-driven experiences. Its platform powers retrieval-based applications across digital commerce, content discovery, and enterprise knowledge at global scale. Algolia’s leadership in AI retrieval is widely recognized. The company was named a Leader in the 2025 Gartner Magic Quadrant for Search and Product Discovery and in multiple IDC reports for search and knowledge discovery. It consistently ranks among the highest-rated platforms in G2, reflecting strong customer satisfaction across enterprise and ecommerce use cases. A Forrester Total Economic Impact study found that organizations using Algolia can achieve a 213 percent return on investment over three years, with payback in under six months and a net present value of $3.1 million, driven by improved relevance, automation, and revenue gains. With a focus on speed, ease of use, and scale, Algolia is defining the future of AI-powered discovery.